AI Field Engineer, EMEAActive
The opportunity
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed,…
What you'll do
Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. ( blog )
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. ( blog )
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. ( blog)
Build end-to-end POCs and MVPs alongside customer engineering teams, working: inside their codebases, infrastructure, and constraints.
For customers whose core product is built on GenAI, architect the inference: foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.
Run load tests and establish latency, throughput, and cost baselines against: realistic customer traffic profiles, and tune deployments to hit those targets
What they're looking for
- Deploy and validate new model families on inference frameworks (vLLM,: SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
- Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
- Build and run fine-tuning pipelines directly with customers, navigating: trade-offs between model families, compute cost, and quality targets.
- Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.
